Abstract
The current method used for calculating vehicle emissions integrates travel data and associated vehicle emission factors. Travel data from traditional travel demand models are normally link-based (e.g., volumes on roadway segments), while California emission factors are trip-based (i.e., average emission factors over an entire trip), creating a mismatch in the modeling interface. Using dynamic simulation for trip assignment, we present a new modeling framework that consistently provides both trip-based and link-based VMT-speed distributions. Using the Sacramento Metropolitan Area and Kern County in California, we demonstrate the feasibility of this new method and quantify the effects of using trip-based versus link-based travel data on regional peak period emission inventories. The comparison results indicate that for the base scenario in both studied regions, the link-based method generally results in higher emissions than the trip-based method. The sensitivities of the link and trip-based methods to road network variations also appear dissimilar. The link-based emissions are more sensitive to facility-related changes, while the trip-based emissions are more sensitive to demand-related changes. This suggests that greater care may need to be taken to specify the effects of this modeling interface issue within the transportation conformity process and subsequent mobile emissions analysis.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 7512-7523 |
| Number of pages | 12 |
| Journal | Atmospheric Environment |
| Volume | 41 |
| Issue number | 35 |
| DOIs | |
| State | Published - Nov 2007 |
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Keywords
- Air quality
- Emission inventory
- Mobile emission
- Traffic data
- Vehicle trip
ASJC Scopus subject areas
- Atmospheric Science
- Environmental Science(all)
- Pollution
Cite this
A comparative analysis of using trip-based versus link-based traffic data for regional mobile source emissions estimation. / Bai, Song; Chiu, Yi-Chang; Niemeier, Debbie A.
In: Atmospheric Environment, Vol. 41, No. 35, 11.2007, p. 7512-7523.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - A comparative analysis of using trip-based versus link-based traffic data for regional mobile source emissions estimation
AU - Bai, Song
AU - Chiu, Yi-Chang
AU - Niemeier, Debbie A.
PY - 2007/11
Y1 - 2007/11
N2 - The current method used for calculating vehicle emissions integrates travel data and associated vehicle emission factors. Travel data from traditional travel demand models are normally link-based (e.g., volumes on roadway segments), while California emission factors are trip-based (i.e., average emission factors over an entire trip), creating a mismatch in the modeling interface. Using dynamic simulation for trip assignment, we present a new modeling framework that consistently provides both trip-based and link-based VMT-speed distributions. Using the Sacramento Metropolitan Area and Kern County in California, we demonstrate the feasibility of this new method and quantify the effects of using trip-based versus link-based travel data on regional peak period emission inventories. The comparison results indicate that for the base scenario in both studied regions, the link-based method generally results in higher emissions than the trip-based method. The sensitivities of the link and trip-based methods to road network variations also appear dissimilar. The link-based emissions are more sensitive to facility-related changes, while the trip-based emissions are more sensitive to demand-related changes. This suggests that greater care may need to be taken to specify the effects of this modeling interface issue within the transportation conformity process and subsequent mobile emissions analysis.
AB - The current method used for calculating vehicle emissions integrates travel data and associated vehicle emission factors. Travel data from traditional travel demand models are normally link-based (e.g., volumes on roadway segments), while California emission factors are trip-based (i.e., average emission factors over an entire trip), creating a mismatch in the modeling interface. Using dynamic simulation for trip assignment, we present a new modeling framework that consistently provides both trip-based and link-based VMT-speed distributions. Using the Sacramento Metropolitan Area and Kern County in California, we demonstrate the feasibility of this new method and quantify the effects of using trip-based versus link-based travel data on regional peak period emission inventories. The comparison results indicate that for the base scenario in both studied regions, the link-based method generally results in higher emissions than the trip-based method. The sensitivities of the link and trip-based methods to road network variations also appear dissimilar. The link-based emissions are more sensitive to facility-related changes, while the trip-based emissions are more sensitive to demand-related changes. This suggests that greater care may need to be taken to specify the effects of this modeling interface issue within the transportation conformity process and subsequent mobile emissions analysis.
KW - Air quality
KW - Emission inventory
KW - Mobile emission
KW - Traffic data
KW - Vehicle trip
UR - http://www.scopus.com/inward/record.url?scp=35748978797&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=35748978797&partnerID=8YFLogxK
U2 - 10.1016/j.atmosenv.2007.05.051
DO - 10.1016/j.atmosenv.2007.05.051
M3 - Article
AN - SCOPUS:35748978797
VL - 41
SP - 7512
EP - 7523
JO - Atmospheric Environment
JF - Atmospheric Environment
SN - 1352-2310
IS - 35
ER -